Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.06535.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:21:28.112281Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T14:06:37.951157Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f8771898-a9fa-4b81-966d-fd942435a37a · inbound
Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models cites this paper.
Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:21:28.112281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a628ed8e-70e6-4b52-808c-d638c1a63117 · inbound
LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.
LLM-Powered AI Agent Systems and Their Applications in Industry Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability
Reference 102
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T14:06:37.954495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d4687e84-398f-4c82-9939-7cd4c7710235 · inbound
Evaluating Reliability Gaps in Large Language Model Safety via Repeated Prompt Sampling cites this paper.
Evaluating Reliability Gaps in Large Language Model Safety via Repeated Prompt Sampling Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T12:55:37.950020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.